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Platform

Google Cloud Platform

BigQuery, Dataform and Looker, where separating storage from processing is built in from the ground up rather than added later.

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BigQuery makes querying very easy, which is exactly why cost control has to be deliberate.

What we do with Google Cloud Platform

BigQuery

Tables organised so that a typical query reads a small slice rather than scanning everything, chosen against how your teams actually ask questions.

Keeping the bill predictable

Reserved capacity and per-team limits, because pay-per-query pricing punishes one badly written scheduled job harder than most people expect.

Dataform

For writing your transformation logic as tested, version-controlled code where dbt is not already in place.

Dataplex

Automatic tracing, quality checks and sensitivity labelling, generated rather than maintained by hand.

Streaming data

Where the business genuinely needs information within seconds and an overnight batch would not do.

What clients use it for

Financial services

Real-time analysis and fraud detection.

Healthcare

Secure handling of patient data, with AI where it genuinely helps.

Retail and e-commerce

Personalised customer experiences and demand forecasting.

Manufacturing

Sensor and IoT data used to predict failures before they happen.

Where it fits

We are not a reseller and we take no vendor commissions, so there is nothing riding on which platform you choose. What we care about is whether the setup can be operated by your team after we leave.

  • Recommended where it genuinely solves a problem you have, not as a default
  • Implemented as code in your repository, under your accounts
  • Handed over with runbooks for the failure modes we actually hit
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We will tell you if this is the wrong tool

We take no commission from any platform on this site, so there is nothing riding on which one you end up choosing.

The rest of the stack we work in

Common questions

Is BigQuery cheap?

Per query, often. In total, only if you manage it. The most common problem we find is one large table with no partitioning being scanned repeatedly by a scheduled job nobody owns any more.

Do we need Looker if we have BigQuery?

You need somewhere that defines what each number means. Looker is a good option for that. It is not the only one.

Ready to turn complexity into your next advantage?

Tell us what you are running today and what is not working. That is a more useful starting point than a platform comparison.

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